Image quality assessment through brain signal analysis

Hubert Cecotti, Bryan Gardiner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Downloads (Pure)


The presence of noise in images has a key impact on the difficulty of visual target detection tasks. In this study, we propose to explore the potential of brain signal analysis for discriminating the level of noise in a sequence of images. The data were recorded using a magnetoencephalography from four healthy individuals during a rapid serial visual presentation task in four conditions corresponding to four different levels of noise in the images. The results indicate a clear link between behavioural performance, single-trial detection, and noise level.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIrish Pattern Recognition and Classification Society
Number of pages2
ISBN (Print)978-0-9934207-1-9
Publication statusPublished (in print/issue) - 26 Aug 2016
EventIrish Machine Vision and Image Processing conference - NUI Galway, Ireland
Duration: 26 Aug 2016 → …


ConferenceIrish Machine Vision and Image Processing conference
Period26/08/16 → …


  • Noise estimation
  • Brain-Machine Interface
  • Magnetoencephalography.


Dive into the research topics of 'Image quality assessment through brain signal analysis'. Together they form a unique fingerprint.

Cite this